摘 要
随着现代工业的快速发展，电气自动化技术在机器人领域的应用日益广泛，为提升生产效率和智能化水平提供了重要支撑。本研究旨在探讨电气自动化技术在机器人设计、控制与优化中的关键作用，并提出一种基于智能算法的电气自动化控制系统以解决传统机器人技术中存在的响应迟缓和精度不足问题。通过将先进的传感器技术和自适应控制策略融入电气自动化系统，研究开发了一种新型机器人运动控制模型，显著提高了机器人的动态性能和操作灵活性。实验结果表明，该模型能够有效降低能耗并增强系统的稳定性，同时实现了复杂任务下的高精度定位与实时反馈。本研究的主要创新点在于提出了融合多源数据的自适应控制方法，突破了传统控制模式的局限性，为机器人技术的进一步发展提供了新的思路。
关键词：电气自动化技术 智能算法 自适应控制
Abstract
With the rapid development of modern industry, electrical automation technology is increasingly widely used in the field of robot, which provides an important support for improving the production efficiency and intelligent level. The purpose of this study is to explore the key role of electrical automation technology in robot design, control and optimization, and to propose an electrical automation control system based on intelligent algorithm to solve the problems of slow response and insufficient accuracy in traditional robot technology. By integrating advanced sensor technology and adaptive control strategy into the electrical automation system, a new robot motion control model is developed, which significantly improves the dynamic performance and operational flexibility of the robot. The experimental results show that the model can effectively reduce energy consumption and enhance the stability of the system, while realizing high-precision positioning and real-time feedback under complex tasks. The main innovation of this study is the adaptive control method integrating multi-source data, which breaks through the limitations of traditional control mode and provides new ideas for the further development of robotics.
Keyword:Electrical Automation Technology Intelligent Algorithm Adaptive Control
目 录
1绪论 1
1.1电气自动化与机器人技术的发展背景 1
1.2研究电气自动化的意义与价值 1
1.3国内外研究现状分析 1
2电气自动化在机器人控制中的应用 2
2.1控制系统的设计与实现 2
2.2传感器技术的集成与优化 2
2.3实时数据处理与反馈机制 3
3电气自动化在机器人运动中的应用 4
3.1运动规划与轨迹控制 4
3.2驱动系统的效率提升 4
3.3动力分配与能量管理 5
4电气自动化在机器人智能化中的应用 5
4.1智能算法的融合与实施 5
4.2数据通信与网络化控制 6
4.3自主决策与环境适应能力 7
结论 7
参考文献 9
致谢 10
随着现代工业的快速发展，电气自动化技术在机器人领域的应用日益广泛，为提升生产效率和智能化水平提供了重要支撑。本研究旨在探讨电气自动化技术在机器人设计、控制与优化中的关键作用，并提出一种基于智能算法的电气自动化控制系统以解决传统机器人技术中存在的响应迟缓和精度不足问题。通过将先进的传感器技术和自适应控制策略融入电气自动化系统，研究开发了一种新型机器人运动控制模型，显著提高了机器人的动态性能和操作灵活性。实验结果表明，该模型能够有效降低能耗并增强系统的稳定性，同时实现了复杂任务下的高精度定位与实时反馈。本研究的主要创新点在于提出了融合多源数据的自适应控制方法，突破了传统控制模式的局限性，为机器人技术的进一步发展提供了新的思路。
关键词：电气自动化技术 智能算法 自适应控制
Abstract
With the rapid development of modern industry, electrical automation technology is increasingly widely used in the field of robot, which provides an important support for improving the production efficiency and intelligent level. The purpose of this study is to explore the key role of electrical automation technology in robot design, control and optimization, and to propose an electrical automation control system based on intelligent algorithm to solve the problems of slow response and insufficient accuracy in traditional robot technology. By integrating advanced sensor technology and adaptive control strategy into the electrical automation system, a new robot motion control model is developed, which significantly improves the dynamic performance and operational flexibility of the robot. The experimental results show that the model can effectively reduce energy consumption and enhance the stability of the system, while realizing high-precision positioning and real-time feedback under complex tasks. The main innovation of this study is the adaptive control method integrating multi-source data, which breaks through the limitations of traditional control mode and provides new ideas for the further development of robotics.
Keyword:Electrical Automation Technology Intelligent Algorithm Adaptive Control
目 录
1绪论 1
1.1电气自动化与机器人技术的发展背景 1
1.2研究电气自动化的意义与价值 1
1.3国内外研究现状分析 1
2电气自动化在机器人控制中的应用 2
2.1控制系统的设计与实现 2
2.2传感器技术的集成与优化 2
2.3实时数据处理与反馈机制 3
3电气自动化在机器人运动中的应用 4
3.1运动规划与轨迹控制 4
3.2驱动系统的效率提升 4
3.3动力分配与能量管理 5
4电气自动化在机器人智能化中的应用 5
4.1智能算法的融合与实施 5
4.2数据通信与网络化控制 6
4.3自主决策与环境适应能力 7
结论 7
参考文献 9
致谢 10
